Data from every system
Dynamics 365 and Dataverse, SAP and other ERP systems, IoT data and files come together in OneLake.
Microsoft Fabric & OneLake
Build a data platform for analytics and new applications.
When data comes from many systems, volumes are large or AI should work on it, we build the data platform with Microsoft Fabric. CRM, ERP, IoT devices and business systems land in one place, and Power BI and AI access it. We start with a clear use case, not a data lake without a purpose.
Explore functions and applications ↓
Functions
What we build with Fabric
Preparation and data quality
Pipelines and Dataflow Gen2 clean and enrich the data. AI-based checks show early where quality falls short.
One model for all reports
The semantic model defines key figures once. Power BI, Excel and AI use the same numbers.
AI on your data
Forecasts, analyses and agents work directly on the platform, with Microsoft Foundry or NXTGN AI CORE.
Access and costs under control
We plan workspaces, roles and capacity so access is right and costs match usage.
Business applications
Typical use cases for Microsoft Fabric & OneLake
Controlling across all subsidiaries
CRM and ERP data from several subsidiaries comes together. Pipeline, revenue and contribution margin come from one source.
Analyse IoT data
Readings from connected devices are combined with customer and service data, for example for maintenance or new services.
Provide data for AI
Clean, documented data is the foundation for every AI use case.
Architecture
Microsoft Fabric & OneLake in your system landscape
This explains the responsibilities. APIs, access and data ownership are agreed for your workflow.
- 01Your teamSourcesCRM, ERP, IoT, files
- 02NXTGNPipelinesload and clean
- 03NXTGNOneLakeLakehouse or warehouse
- 04NXTGNSemantic modelKey figures defined once
- 05NXTGNPower BI and AIReports, forecasts, agents
- 06Your teamYour teamsdecide on one basis
delivered by NXTGNyour systems and teams
Requirements and boundaries
Fabric is billed by capacity. We size it by data volume and users and check before use which new features are still in preview.
Do we need Fabric or is Power BI enough?
For many reports Power BI is enough. Fabric pays off with many sources, large volumes, real-time data or when AI should work on the data.
Does Fabric replace our data warehouse?
Often, yes. We check what moves over and what existing systems continue to do.
How does Dynamics data get into Fabric?
Directly through the link from Dataverse to Fabric, without separate export jobs.
Related topics
Related products and services
Product documentationFabric – Überblick ↗Dataflow Gen2 ↗Editorial review: 12 October 2026. Features and availability can change.
Planning to use Microsoft Fabric & OneLake?
Discuss your workflow, existing systems, implementation and operational requirements with us.
